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\u003cp\u003e\u003cb\u003eA treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003ci\u003eRobust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation\u003c/i\u003e provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together.\u003c/p\u003e \u003cp\u003eThis book offers chapter coverage of fractional calculus and fractional-order systems; fractional-order PID controller and fractional-order disturbance observer; design of fractional-order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for uncertain fractional-order chaotic systems subject to input saturation and disturbance; stabilization control of continuous-time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional-order chaotic systems with disturbance; and more.\u003c/p\u003e \u003cul\u003e \u003cli\u003eBased on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems\u003c/li\u003e \u003cli\u003eCovers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional-order nonlinear systems\u003c/li\u003e \u003cli\u003eBy combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional-order nonlinear systems with unknown disturbances\u003c/li\u003e \u003cli\u003eConsiders, together, the issue of input saturation and the disturbance for the control of fractional-order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003eRobust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation\u003c/i\u003e can be used as a reference for the academic research on fractional-order nonlinear systems or used in Ph.D. study of control theory and engineering.\u003c/p\u003e |
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